Improved data page performance
Valid from Pega Version 8.4
Data pages that are sourced from report definitions now support server-side paging. This functionality optimizes the performance and memory of data pages, making them more efficient at retrieving large lists of data. In addition to getting page indicators at the top of a grid, you can sort and filter columns in a grid in conjunction with paging. If you want the system to use server-side pagination, you can also enable pagination from the Data page rule form.
For more information, see Defining data page access.
Email supports Microsoft Graph
Valid from Pega Version 8.4
Email integration with Microsoft Office 365 now supports Microsoft Graph. By using Microsoft Graph, you can process inbound email more securely and avoid using less secure protocols, such as IMAP and POP3.
For more information, see Creating an email account.
Email listener enhancements for faster email processing
Valid from Pega Version 8.4
Enhanced email listeners now process more emails in less time. To increase throughput, you can configure email listeners to process several emails simultaneously, instead of one at a time.
For more information, see Creating an email listener.
Support for data page aggregation
Valid from Pega Version 8.4
You can now aggregate data from multiple sources for faster and easier implementations. With this feature, you can load data pages more easily without using an activity or data transform.
For more information, see Creating a data page.
Connect to Amazon SageMaker models in Prediction Studio
Valid from Pega Version 8.4
Make the most of your custom Amazon SageMaker models in Pega Platform™ by connecting to the models in Prediction Studio. You can then run the Amazon SageMaker models as part of your decision strategies.
For more information, see Enrich your decisioning strategies with H2O and Amazon SageMaker predictive models (8.4).
Import H2O models to Prediction Studio
Valid from Pega Version 8.4
Make the most of your custom H2O models in Pega Platform™ by importing them to Prediction Studio. You can then include the H2O models in your decision strategies.
For more information, see Enrich your decision strategies with H2O and Amazon SageMaker predictive models (8.4).
Support for auditing adaptive model decisions
Valid from Pega Version 8.4
Pega Platform™ now stores all adaptive model scoring data so that you can identify the source of each decision, such as the exact model version that was used for scoring. With this feature, you can ensure that your application is auditable, transparent, and in compliance with regulatory requirements related to using adaptive models.
For more information, see Configuring the Adaptive Decision Manager service.
Create predictions in Prediction Studio
Valid from Pega Version 8.4
Predict customer behavior and business events by creating predictions. To create a prediction, you answer a series of questions about what you want to predict. For example, you can create a prediction to determine the likelihood of customer churn.
For more information, see Create predictions in just a few clicks (8.4).
Improved contracts for implementations
Valid from Pega Version 8.4
For more complete contracts, automations now support embedded pages, default values, and picklists. These enhancements provide a more robust model for inputs and outputs that is easier to update and maintain.
For more information, see Viewing automations.
Enhanced OpenAPI Specification generation
Valid from Pega Version 8.4
To better understand the purpose of your REST API, you can now generate a more complete OpenAPI Specification (OAS) from REST service rules in Pega Platform™. The system uses relevant records to build an accurate schema definition for page and page list outputs, and generate stronger schema type definitions for all inputs, outputs, and fields, such as array or boolean. You can also generate OAS by mapping values to JSON or Clipboard in the request, or mapping values from JSON or Clipboard in the response.
For more information, see Service REST rules.